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Design Patterns

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TencentBlueKing
design-patterns

在 BK-CI 中判断何时使用工厂、策略、责任链、观察者、模板方法、装饰器等设计模式时使用。当用户要重构可扩展结构、统一模式选型、理解项目里的模式落点时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill namedesign-patterns
Stars
2.5K
Forks
524
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TencentBlueKing on GitHub. Read the source before you install it.

Installation

Install the Design Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TencentBlueKing/bk-ci.git /tmp/bk-ci
mkdir -p .claude/skills
cp -r /tmp/bk-ci/ai/skills/design-patterns .claude/skills/design-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Design Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Design Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

BK-CI 设计模式实践

适用场景

  • 需要为一段可扩展逻辑选择合适的设计模式
  • 需要理解 BK-CI 里某个模式为什么这样落地
  • 需要重构 if-else、分发逻辑、插件扩展点、后置处理链
  • 需要判断某个能力更适合用工厂、策略、责任链、观察者还是模板方法

不适用场景

  • 只是查某个类、某个接口或某段代码在哪里
  • 只是普通 CRUD、简单参数封装或一次性脚本逻辑
  • 问题本质是模块归属、接口设计或数据库结构,不是模式选型

快速指导

  1. 先判断你解决的是哪一类问题:
    • 对象按类型创建:看 reference/1-core-patterns.md 里的工厂模式
    • 多种规则按条件切换:看策略模式
    • 多个处理步骤串联:看责任链模式
    • 状态变化后广播处理:看观察者模式
    • 固定主流程、子类只改局部:看模板方法模式
    • 在原能力外叠加附加行为:看装饰器模式
  2. 在 BK-CI 里,模式选择要优先服从“模块边界 + 扩展点稳定性”,不要为了模式而模式。
  3. 如果只是 2 到 3 个稳定分支,且短期不会扩展,先别急着上复杂模式。
  4. 如果一段逻辑需要外部扩展、插件接入、规则分发或顺序处理,优先考虑模式,而不是继续堆 when / if-else
  5. 选型前先看项目里已有落地,不要凭空造新写法。常见实例在 reference/3-project-examples.md

高信号规则

  • 工厂模式适合“如何创建”,策略模式适合“如何选择一种行为”
  • 责任链适合“多个处理器按顺序试或继续”,不适合硬凑单一判断逻辑
  • 观察者适合事件解耦,不适合强事务链路里的必须同步步骤
  • 模板方法适合主流程稳定、局部差异明确的场景
  • 装饰器适合附加横切能力,不适合把核心流程绕得过深

关键陷阱

  • 只有两个稳定分支也强行上策略或工厂,增加理解成本
  • 把责任链当作“任何流程都能往里塞”的万能结构
  • 观察者乱用在需要强一致性的主业务流程里
  • 模式只在类图上优雅,落到 BK-CI 实际模块时却破坏分层和边界
  • 只看教科书定义,不看项目里已经存在的同类实践

延伸阅读

  • 核心模式:reference/1-core-patterns.md
  • 选型方法:reference/2-selection-guidelines.md
  • 项目案例:reference/3-project-examples.md
  • 如果模式已经沉淀为通用组件:再看 utility-components
  • 如果问题偏框架实践:再看 common-technical-practices

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Design Patterns AI skill do?

在 BK-CI 中判断何时使用工厂、策略、责任链、观察者、模板方法、装饰器等设计模式时使用。当用户要重构可扩展结构、统一模式选型、理解项目里的模式落点时优先使用。

Why use Design Patterns on TypingMind?

Because you install it once and use it with any model. Design Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Design Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentBlueKing/bk-ci/tree/master/ai/skills/design-patterns. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Design Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Design Patterns?

As many as you like. As long as a model supports skills, you can use Design Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Design Patterns AI skill free?

It is published on GitHub by TencentBlueKing. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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